Eigenvalue Algorithms
Eigenvalue Algorithms is a class of numerical methods designed to compute eigenvalues and associated eigenvectors of a matrix by iteratively transforming or decomposing the matrix to reveal its spectral properties.
2.9K
Publications
193.6K
Citations
4.2K
Authors
1.4K
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Publications per year
2017–2026
276
Parents
2.9K
On Spectral Clustering: Analysis and an algorithm
Andrew Y. Ng, Michael I. Jordan, Yair Weiss · 2001 · 7.8K citations
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt et al. · Nature Communications · 2014 · 4.6K citations · Full text
Natural Sciences, Chemistry, Physics +17
1–5 of 2.9K
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University of California, Berkeley, United States
24 publications · 1.9K citations
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1.4K
University of California, Berkeley
Berkeley, United States
29 h-index
73 publications
20.6K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
47 publications
10.9K citations
KU Leuven
Leuven, Belgium
21 h-index
73 publications
2.7K citations
Stanford University
Stanford, United States
20 h-index
45 publications
4K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
45 publications
2K citations

Northern Illinois University
DeKalb, United States
19 h-index
24 publications
1.4K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
18 h-index
31 publications
1.4K citations
Academy of Mathematics and Systems Science
Beijing, China
17 h-index
25 publications
1.5K citations
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215 publications · 15.3K citations
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153 publications · 7.6K citations
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101 publications · 6.6K citations
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MCOM · 68 publications · 7.4K citations
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51 publications · 5.3K citations
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